H154
Water and Society: Translating new digital solutions and modeling advancements into improved water management and decision making
Session ID#: 250048
Session Description:
New technologies, such as digital twins, real time data processing, and artificial intelligence, can transform our understanding of water systems. Leveraging these innovations for improved management requires similar advancements in our capability to use the information that these technologies provide, coupled with an understanding of underlying governance dynamics guiding management decisions. This session invites interdisciplinary submissions at the interface of modeling and management that present advancements, challenges and opportunities regarding the application of digital twins, physical models, and data driven methods (e.g. AI/ML, etc.) to water management. Areas of interest include, but are not limited to: - Integration of models with risk analysis, planning, and decision support - Case studies of management innovations derived from advanced technologies - Innovative applications for short-term and long-term decision contexts. - Integration of human systems and behaviors into water resource models - Communication and visualization techniques to support stakeholder engagement
Co-Sponsor(s):
Index Terms:
1847 Modeling [HYDROLOGY]
1880 Water management [HYDROLOGY]
1918 Decision analysis [INFORMATICS]
Primary Convener: Julie Elizabeth Shortridge, Virginia Tech, Blacksburg, VA, United States
Conveners: Hannu Marttila, University of Oulu, Water, Energy and Environmental Engineering Research Unit, Oulu, Finland and Marko Keskinen, Aalto University, Water & Environmental Engineering Research Group, Helsinki, Finland
Modelling nature-based solutions for nitrogen and phosphorus reduction in northern agricultural catchment: SWAT+ model and digital tools to help decision making (1845641)
Hannu Marttila1, Joy Bhattacharjee1, Nidhal Aga1, Md Hossain Taki1, Pasi Valkama2, Jukka Aroviita3 and Katri Rankinen2, (1)University of Oulu, Water, Energy and Environmental Engineering Research Unit, Oulu, Finland, (2)Finnish Environment Institute, Helsinki, Finland, (3)Finnish Environment Institute, Oulu, Finland
Sustainable Water Governance and Digitalization: Status and Needs of Public Sector Actors in Finland (1847531)
Alexandra Malmström1, Mirjami Lantto Klein2, Mia Pihlajamäki2 and Marko Keskinen3, (1)Aalto University School of Engineering, Espoo, Finland, (2)Aalto University, School of Engineering, Espoo, Finland, (3)Aalto University, Water & Environmental Engineering Research Group, Helsinki, Finland
Progress toward regular National Integrated Water Availability Assessments for the Nation: Trends in water supply components from 1983–2021 (1861075)
Galen Gorski, U.S. Geological Survey, Water Mission Area, Reston, United States, Olivia Miller, U.S. Geological Survey, Utah Water Science Center, Salt Lake City, United States, Edward Stets, U.S. Geological Survey, Water Mission Area, Mounds View, MN, United States, Althea Archer, USGS Headquarters, Reston, United States, Martha A Scholl, U.S. Geological Survey, Earth System Processes Division, Reston, United States, Anthony Martinez, U.S. Geological Survey, WMA - Integrated Information Dissemination, Denver, United States, Benjamin Linhoff, U.S. Geological Survey, Santa Fe, United States, Michael Frederick Meyer, USGS WMA Observing Systems Division, Madison, United States and Stacey A Archfield, US Geological Survey, Integrated Modeling and Prediction Division, Water Resources Mission Area, Reston, United States
Water Scarcity Attribution in the Western U.S. using Interpretable Machine Learning Emulators of Process-Based Hydrologic Models (1870687)
Yifan Luo1, Danielle S Grogan2, Shan Zuidema2, Richard B. Lammers3, Jiameng Zheng4, Matt Lisk5, Karen Fisher-Vanden6, Sheila Olmstead7 and Vivek Srikrishnan8, (1)Cornell University, School of Civil and Environmental Engineering, Ithaca, NY, United States, (2)University of New Hampshire, Earth Systems Research Center, Durham, NH, United States, (3)University of New Hampshire, Earth Systems Research Center, Durham, United States, (4)Louisiana State University, Baton Rouge, United States, (5)Pennsylvania State University, University Park, United States, (6)Pennsylvania State University, Agricultural Economics, Sociology, and Education, University Park, PA, United States, (7)Cornell University, Ithaca, United States, (8)Cornell University, Ithaca, NY, United States
The Chesapeake Global Collaboratory: Implementation and Case Studies (Invited) (1878744)
Victoria Coles1, Raleigh R Hood1, Kenneth Rose1, Jeremy M Testa2 and Ryan J Woodland2, (1)University of Maryland Center for Environmental Science Horn Point Laboratory, Cambridge, United States, (2)University of Maryland Center for Environmental Science, Chesapeake Biological Laboratory, Solomons, United States
An Integrated Remote Sensing and Computer Vision Techniques for Automatic Detection of Ancient Subsurface Water Systems (1938625)
Deepak Kumar1, Dipanshu Tikare2, Phanindra Kbvn2, Umashankar B2 and Satish Kumar Regonda3, (1)Indian Institute of Technology Hyderabad, Department of Civil Engineering, Hydearbad, India, (2)Indian Institute of Technology Hyderabad, Department of Civil Engineering, Hyderabad, India, (3)Indian Institute of Technology Hyderabad, Department of Civil Engineering and Department of Climate Change, Hyderabad, India
Hydroclimatic Extremes in a Warmer World: A Storyline-Based Assessment of the 2024 Valencia Flash Floods (1942462)
Aparna Chandrasekar1, Jeisson Javier Leal Rojas1, Sebastian Muller2, Matthias Kelbling3, Valentin Simon Lüdke1, Andreas Marx3 and Stephan Thober3, (1)Helmholtz Centre for Environmental Research UFZ Leipzig, Department of Computational Hydrosystems, Leipzig, Germany, (2)Helmholtz Centre for Environmental Research UFZ Leipzig, Leipzig, Germany, (3)Helmholtz Centre for Environmental Research - UFZ, Computational Hydrosystems, Leipzig, Germany
National-scale modeling tools support the United States National Integrated Water Availability Assessment (1954158)
Edward Stets, U.S. Geological Survey, Water Mission Area, Mounds View, MN, United States, Althea Archer, USGS Headquarters, Reston, United States, Dr. Melinda L Erickson, PhD, PE, U.S. Geological Survey, Upper Midwest Water Science Center, Minneapolis, United States, Galen Gorski, U.S. Geological Survey, Baltimore, United States, Anthony Martinez, U.S. Geological Survey, WMA - Integrated Information Dissemination, Denver, United States, Laura Medalie, Quartz Hill, CA, United States and Martha A Scholl, U.S. Geological Survey, Earth System Processes Division, Reston, United States
Linking Parametric Uncertainty to Ecosystem Service Outcomes in a Decision-Support Groundwater Model (1955047)
Logan Swenson, University of Kansas, Kansas Geological Survey, Lawrence, KS, United States, Sam C Zipper, University of Kansas, Kansas Geological Survey, Lawrence, United States, Chloe Wardropper, University of Illinois at Urbana Champaign, Natural Resources and Environmental Sciences, Urbana, United States, Nouman Afzal, University of Illinois Urbana-Champaign, Natural Resources and Environmental Sciences, Champaign, United States and Adam Zwickle, Michigan State University, Community Sustainability, Environmental Science & Policy Program, East Lansing, United States
Developing a Climate-Smart Decision Support System for Water Allocation in the Upper Syr Darya Basin under Climate Change (1975997)
Jingshui Huang1, Ivan Rocabado2, Josep Coma2, Brecht D'Haeyer3, Lucas Alcamo1, Timo Schaffhauser4, Gautamee Baviskar5, Praveen Kumar Rai6, Rick J. Hogeboom5, Heiko Paeth6 and Markus Disse4, (1)Technical University of Munich, Chair of Hydrology and River Basin Management, Munich, Germany, (2)HEADES, Wetteren-ten-Ede, Belgium, (3)FutureWater, Wageningen, Netherlands, (4)Technical University of Munich, Chair of Hydrology and River Basin Management, School of Engineering and Design, Munich, Germany, (5)University of Twente, Enschede, Netherlands, (6)University of Würzburg, Würzburg, Germany
Climate-adjusted probability of default model: A framework for integrating physical climate risk for residential mortgage (2004033)
Siyao Ma, University of Arkansas, Federal Way, United States, Zhijun He, World Bank, Washington, United States, Christopher Craig, Murray State University, Murray, United States and Jeremy Porter, Frist Street, New York, United States
